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Personalized Medical Terminology Learning Game: Guess the Term

Games Health J. 2023 Sep 12. doi: 10.1089/g4h.2023.0054. Online ahead of print.


Objective: Wordbot, a chatbot designed for gamified education, transforms the process of memorizing complex medical terminology into an engaging and enjoyable activity for medical students. Taking inspiration from the “guessing words” game, Wordbot aims to improve medical students’ learning outcomes by making the vocabulary memorization process more memorable. Materials and Methods: Wordbot, which can be implemented on the LINE platform, was created for this research, specifically to improve medical terminology learning. Wordbot incorporated mobile devices and personal computer-compatible flashcard games with features such as user ranking and personalization to enhance motivation and optimize learning outcomes. In the experimental research setting, half of a total of 48 nursing students were randomly assigned to use Wordbot for 4 months, and the other half were assigned to a control group relying on self-study without the help of Wordbot. Both groups received pretest and post-test to assess their respective learning of medical terminology. In this study, a statistical t-test was used to analyze the results between the two groups. In addition, user usability testing was conducted to evaluate the usability of Wordbot and gather feedback on user experience. Results: The results of this study have demonstrated that Wordbot is effective in facilitating students learning of medical terminology. Students experienced a significant improvement in their knowledge of medical terminology. An average user usability test score of 83.25 indicated that users’ satisfaction with Wordbot is high. Conclusion: Incorporating gamification and personalization elements in Wordbot can significantly improve the overall enjoyment of the learning process. By participating in diverse interactive activities, users can effectively enhance their proficiency in spelling, recognition, and speaking. Wordbot utilizes sophisticated algorithms to generate customized questions based on identified mistakes, which facilitate error identification and correction. The robust findings of this study overwhelmingly support Wordbot’s role as a convenient and easily accessible tool for learning medical terminology. The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Institutional Review Board of Chang Gung Medical Foundation (Protocol code: 202201586B0, date of approval: 8 November 2022). We obtained informed consent from all of our study participants regarding their willingness to participate in this study.

PMID:37699207 | DOI:10.1089/g4h.2023.0054

By Nevin Manimala

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